
\begin{table}[htbp]
   \caption{\label{tab:figure5_regs} Dynamic Treatment Effects of 
   PESA Adoption on Forest Index}
   \centering
   \begin{tabular}{lcccccc}
      \tabularnewline \midrule \midrule
       & \multicolumn{6}{c}{Forest cover index}\\
                                & (1)           & (2)           & (3)           & (4)           & (5)           & (6)\\  
      \midrule 
      Lag Year 6 $\times$ Sch   & -0.0906       & -0.1767       & -0.4451       & -0.0262       & -0.1824       & 0.3694\\   
                                & (0.1984)      & (0.2501)      & (0.2699)      & (0.3370)      & (0.4088)      & (0.5906)\\   
      Lag Year 5 $\times$ Sch   & 0.2116        & 0.0694        & -0.1410       & 0.3672        & 0.2551        & 0.3180\\   
                                & (0.1762)      & (0.2178)      & (0.2413)      & (0.2936)      & (0.3582)      & (0.5411)\\   
      Lag Year 4 $\times$ Sch   & 0.1232        & 0.2100        & -0.0010       & 0.3216        & 0.2670        & 0.4208\\   
                                & (0.1641)      & (0.2186)      & (0.2435)      & (0.2896)      & (0.3567)      & (0.5381)\\   
      Lag Year 3 $\times$ Sch   & 0.0718        & 0.0298        & -0.2548       & -0.0119       & -0.1983       & 0.0256\\   
                                & (0.1894)      & (0.2506)      & (0.2810)      & (0.3361)      & (0.4122)      & (0.6220)\\   
      Lag Year 2 $\times$ Sch   & -0.2813       & -0.2671       & -0.6657       & -0.4996       & -0.6162       & -0.7799\\   
                                & (0.2147)      & (0.2754)      & (0.2942)      & (0.3571)      & (0.4267)      & (0.6265)\\   
      Year 0 $\times$ Sch       & 0.0033        & 0.1293        & -0.0072       & 0.5711        & 0.5002        & 0.9448\\   
                                & (0.1596)      & (0.2136)      & (0.2361)      & (0.2859)      & (0.3537)      & (0.5375)\\   
      Lead Year 1 $\times$ Sch  & 0.4582        & 0.6556        & 0.6284        & 1.038         & 1.229         & 2.250\\   
                                & (0.1709)      & (0.2259)      & (0.2523)      & (0.3002)      & (0.3643)      & (0.5256)\\   
      Lead Year 2 $\times$ Sch  & -0.0071       & -0.0017       & -0.2021       & -0.0426       & 0.0305        & 0.4605\\   
                                & (0.1731)      & (0.2362)      & (0.2652)      & (0.3224)      & (0.3931)      & (0.5602)\\   
      Lead Year 3 $\times$ Sch  & 0.2376        & 0.3497        & 0.0568        & 0.6309        & 0.6136        & 1.280\\   
                                & (0.1739)      & (0.2363)      & (0.2597)      & (0.3214)      & (0.3880)      & (0.5692)\\   
      Lead Year 4 $\times$ Sch  & 0.2726        & -0.2154       & -0.5379       & -0.0721       & -0.2491       & 0.2372\\   
                                & (0.2294)      & (0.2359)      & (0.2635)      & (0.3109)      & (0.3788)      & (0.5620)\\   
      Lead Year 5 $\times$ Sch  & 0.0704        & 0.3833        & 0.2822        & 0.5012        & 0.5393        & 1.179\\   
                                & (0.1791)      & (0.2202)      & (0.2441)      & (0.2942)      & (0.3547)      & (0.5141)\\   
      Lead Year 6 $\times$ Sch  & 0.2563        & 0.6274        & 0.4723        & 0.8909        & 0.9413        & 1.650\\   
                                & (0.1846)      & (0.2255)      & (0.2504)      & (0.3067)      & (0.3736)      & (0.5640)\\   
      \midrule \emph{Summary Statistics} &  &  &  &  &  & \\
      Mean Pre-Y (Non-Sch)      & 4.466         & 8.387         & 9.852         & 12.27         & 16.97         & 24.48\\  
      Mean Pre-Y (Sch )         & 9.321         & 12.26         & 13.23         & 15.38         & 17.65         & 24.43\\  
      Dataset                   & VCF           & VCF           & VCF           & VCF           & VCF           & VCF\\  
      Timespan                  & 1995-2017     & 1995-2017     & 1995-2017     & 1995-2017     & 1995-2017     & 1995-2017\\  
      \midrule
      \emph{Fixed-effects}\\
      Pixel                     & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$\\   
      State $\times$ Year       & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$  & $\checkmark$\\   
      \midrule
      \emph{Fit statistics}\\
      \# Pixel                  & 64,828        & 32,414        & 25,931        & 19,448        & 12,966        & 6,483\\  
      \# State $\times$ Year    & 114           & 114           & 114           & 114           & 114           & 102\\  
      \# Observations           & 817,306       & 413,293       & 332,492       & 248,938       & 165,754       & 82,990\\  
      R$^2$                     & 0.92009       & 0.90382       & 0.89778       & 0.88722       & 0.86379       & 0.81011\\  
      \midrule \midrule
   \end{tabular}
   
   \par \raggedright 
   \emph{Notes:} Standard errors are clustered at the block level and reported in parentheses.
\end{table}


